Network Power Scheduling for TinyOS Applications

Hohlt, Barbara; Brewer, Eric

doi:10.1007/11776178_27

Cited by 19 publications

(10 citation statements)

References 25 publications

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“…In general, senders and receivers agree on a wake-up schedule and wake up at the same time to communicate. In general, TDMA (time division multiple access) protocols belong to this group, for example, sensor MAC (SMAC) [12], time-out MAC (T-MAC) [13], Flexible power scheduling [14] (FPS), Twinkle [15], and Dozer [16]. In addition, the standard IEEE 802.15.4 [17] defines the Medium Access Control (MAC) based on beacons, which also provides a synchronous rendezvous.…”

Section: Duty-cycled Mac Protocolsmentioning

confidence: 99%

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Brzozowski

Salomon

Langendoerfer

2012

International Journal of Distributed Sensor Networks

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This work addresses a tough challenge of achieving two opposing goals: ensuring long lifetimes and supporting short end-to-end delays in sensor networks. Obviously, sensor nodes must wake up often to support short delays in multi-hop networks. As event occurs seldom in common applications, most wake-up are useless: nodes waste energy due to idle listening. We introduce a set of solutions, referred to as LETED (limiting end-to-end delays), which shorten the wake-up periods, reduce idle listening, and save energy. We exploit hardware features of available transceivers that allow early detection of idle wake-up periods. This feature is introduced on top of our approach to reduce idle listening stemming from clock drift owing to the estimation of run-time drift. To evaluate LETED and other MAC protocols that support short end-to-end delays we present an analytical model, which considers almost 30 hardware and software parameters. Our evaluation revealed that LETED reduces idle listening by 15x and more against similar solutions. Also, LETED outperforms other protocols and provides significant longer lifetimes. For example, nodes with LETED work 8x longer than those with a common TDMA and 2x-3x longer than with protocols based on preamble sampling, like B-MAC.

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Section: Duty-cycled Mac Protocolsmentioning

confidence: 99%

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Brzozowski

Salomon

Langendoerfer

2012

International Journal of Distributed Sensor Networks

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“…A possible approach to scheduled wakeups consists in establishing a coarse-grained TDMA schedule defined at the application layer, and exploiting an underlying MAC protocol for actual data transfer. This approach is used by Flexible Power Scheduling (FPS) [8,9], which includes an on-demand reservation mechanism capable to dynamically adapt to traffic demands. Since slots are relatively large, a strict synchronization among nodes is not required.…”

Section: Related Workmentioning

confidence: 99%

“…This concludes the talk interval with the children. [8][9]. If the direct beacon is missed, then node j uses the current parameters also in the next communication period (lines [11][12][13].…”

Section: Sleep Coordination Algorithmmentioning

confidence: 99%

Design, Implementation, and Field Experimentation of a Long-Lived Multi-hop Sensor Network for Vineyard Monitoring

Anastasi

Conti

Francesco

et al. 2012

Lecture Notes in Computer Science

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. Precision agriculture can particularly benefit from wireless sensor networks, as they allow continuous and fine-grained monitoring of environmental data, which can thus be used to reduce management costs and improve crop quality. Such applications typically require long-term and unattended monitoring of large geographical areas. Therefore, sensor nodes must be able to self-organize and use their limited energy budget very efficiently, so as to prolong the network lifetime to many months or, even, years. In this chapter we present ASLEEP, an adaptive strategy for efficient power management in multi-hop WSNs targeted to periodic data collection. The proposed strategy dynamically adjusts the active periods of nodes to match the network demands with the minimum energy expenditure. In this chapter we focus on the implementation and the experimental evaluation of ASLEEP on a real testbed deployed in a vineyard, according to the case study considered in the project. We show that our adaptive approach actually reduces the energy consumption of sensor nodes, thus increasing the network lifetime up to several years.

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“…The two common problems with this scheme are: they are not flexible and require a strict synchronization among nodes and to achieve flexibility, FPS includes an on-demand reservation mechanism that allows nodes to reserve slots in advance. Twinkle that supports broadcast is an improved version of FPS, presented in [4].…”

Section: Scheduled Rendezvous Wakeup Schemesmentioning

confidence: 99%

Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks

Saxena¹,

Mishra²,

Sharma³

et al. 2010

IJCA

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Researchers in wireless Micro-sensor networks (M-WSN) have proposed various protocols for energy conservations. Each protocol is aimed to optimize power utilization in wireless sensor networks. The different protocol approaches optimize power consumption either considering their application areas or network topologies. This paper studies various energy-saving protocols for micro sensor networks and presents their brief classifications. An M-WSN is a group of hundreds or thousands of small energy-limited sensors that are densely deployed in a large geographical region. These micro sensors in sensor network are autonomous devices responsible for forwarding locally collected data to a central node called sink node by following multi-hop wireless paths. The sink node performs data fusion to form a single meaningful result. The micro sensors work by utilizing limited battery-power, the considerable part is to use this power for a maximum time. Although recent developments in electronics has enabled the development of low-cost & low-power sensors networks, still there is a challenging job of energy conservation optimization within the wireless sensor networks (WSNs).

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Network Power Scheduling for TinyOS Applications

Cited by 19 publications

References 25 publications

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks

Design, Implementation, and Field Experimentation of a Long-Lived Multi-hop Sensor Network for Vineyard Monitoring

Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks

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